Summary
Michelle Yeo is a postdoctoral researcher with 11 years of experience bridging machine learning, cryptography and decentralized finance, currently based in Vienna and affiliated with Aarhus University after a postdoc at NUS. Her background combines industry-grade software engineering at Google DeepMind and Morgan Stanley with a PhD from IST Austria focused on blockchain, layer-2 systems and game-theoretic problems in DeFi. She has a strong ML pedigree (UCL MSc, research at Invinio that gained mainstream coverage) and a track record of shipping high-performance C++ systems as well as rigorous academic contributions catalogued on DBLP. Notably, she blends practical production experience with deep theoretical research—making her adept at turning complex cryptographic and economic models into implementable protocols and tools. As a non-UK/EU citizen working across Europe and Asia, she brings global perspective and proven adaptability to multidisciplinary teams.
11 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Institute of Science and Technology Austria
International Baccalaureate, International Baccalaureate at Anglo-Chinese School (Independent)
Bachelor of Arts, Statistics, Bachelor of Arts, Statistics at University of Chicago
University College London
English, Chinese, German, Indonesian